Solving PDEs in Python

Hans Petter Langtangen

at 250 WPM

2h 37m

The average reader, reading at a speed of 250 WPM, would take 2h 37m to read Solving PDEs in Python.

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6

days at 30 min/day

157

total minutes

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Solving PDEs in Python

by Hans Petter Langtangen, Anders Logg

Mar 29, 2017

Springer

157

9783319524610

3319524615

Description

computer science; algorithms; visualization; software; programming

Frequently Asked Questions

How many pages are in Solving PDEs in Python?

This edition of Solving PDEs in Python has approximately 157 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Solving PDEs in Python?

For most readers, Solving PDEs in Python typically takes between 3h 16m and 2h 11m to complete. This is based on the book's length of approximately 39,250 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 2h 37m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 6 days • Estimated word count: 39,250 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Solving PDEs in Python?

The estimated word count for Solving PDEs in Python is approximately 39,250 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Solving PDEs in Python?

Solving PDEs in Python was written by Hans Petter Langtangen, Anders Logg.

When was Solving PDEs in Python published?

The publication date for this specific edition is Mar 29, 2017. The original work may have been published on a different date.